Multi-Modal Medical Image Correlation System
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Solution Overview
Problem
Current medical information systems fail to efficiently correlate corresponding regions between multi-modal medical images from different imaging/processing modalities, such as radiology and pathology images, which are often displayed as discrete data and lack intuitive methods for storing and accessing correspondence information, making it challenging for users to navigate and analyze these images effectively.
Innovation Solution
A system that accesses multi-modal medical images from databases, allows users to select regions of interest through a graphical user interface (GUI), determines corresponding regions in the other image modality using landmarks or machine learning models, and stores correspondence information to synchronize the display of these regions across different image modalities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multi-modal medical images are displayed as discrete pieces of data for analysis by different specialists, then each specialist can analyze their specific modality in detail, but the user cannot efficiently determine correspondence between regions in different medical images
Solution Approach 1:
The patent combines multiple medical images of different modalities (e.g., CT, MRI, PET) into a single integrated display interface, allowing simultaneous visualization and comparison. The system overlays or juxtaposes corresponding regions from different modalities, enabling users to identify anatomical correspondences efficiently while maintaining the ability to analyze each modality's specific features.
Solution Approach 2:
The patent introduces an intermediary processing system that automatically identifies and establishes correspondences between regions in different medical images using image registration algorithms and anatomical landmark detection. This intermediary layer translates between different imaging modalities and presents correlated information to the user, eliminating the need for manual correspondence identification.
2Loss of information
If medical information systems provide access to multiple medical images, then comprehensive diagnostic information is available, but the system does not provide easy and intuitive ways to store and access information indicating corresponding regions
Solution Approach 1:
The patent performs preliminary image registration and correspondence identification automatically during data ingestion, before the user needs to access the information. The system pre-processes multiple medical images to establish anatomical correspondences, store transformation parameters, and create indexed relationships between regions across modalities, making subsequent access intuitive and efficient.
Solution Approach 2:
The patent creates simplified digital representations or proxies of the correspondence relationships between medical images, such as annotated overlays, registered image pairs, or structured data models that capture spatial transformations. These copies enable intuitive navigation and access to corresponding regions without requiring users to manage the full complexity of the original multi-modal datasets.
3Area of stationary object
If multi-modal medical images capture different extents of the subject's body with different resolutions and scales, then comprehensive coverage is achieved, but it becomes challenging for users to navigate and locate corresponding regions of interest
Solution Approach 1:
The patent introduces an additional spatial dimension or hierarchical level for navigating multi-modal medical images. The system provides a multi-scale view where users can navigate from whole-body overview down to organ-level and tissue-level details across different modalities. Corresponding regions are maintained at each scale level through automated registration, allowing intuitive navigation despite differences in original image extents and resolutions.
Solution Approach 2:
The patent implements dynamic scaling and adaptive resolution display that automatically adjusts the visualization of corresponding regions across different modalities. When users navigate to a region of interest in one modality, the system dynamically adjusts the display scale and resolution of corresponding regions in other modalities to maintain optimal viewing conditions and clear anatomical correspondence, regardless of the original image parameters.
Data Source
AI summary
In some embodiments, methods, systems, software and uses are provided for synchronizing medical images displays. An input identifying a region of interest in a first medical image is received. A second region of interest in a second medical image is determined based the first region. The first medical image and a first indication of the first region are displayed in a first viewport of a GUI. The second medical image and a second indication of the second region are displayed in a second viewport of the GUI. A display adjustment input is received to adjust the displaying of one of the first or second region of interest. Based on the display adjustment input and the correspondence information, an adjustment of the displaying of the first region of interest in the first viewport and an adjustment of the displaying of the second region of interest in the second viewport is implemented.